<div class="content-intro"><h2>About us</h2> <div>PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.</div> <div>We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.</div></div><h3><strong>Note: </strong>We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals.</h3> <h2><strong>What you will do </strong></h2> <ul> <li>Shape Research group strategy and culture in a significant way, especially in domains of expertise. <ul> <li>Be opinionated and formulate strategy on engineering topics relevant to our Research priorities, especially on: scaled engineering, securing compute, infrastructure stack.</li> <li>Define necessary profiles to execute this strategy.</li> <li>Promote effective working patterns and proactively flag issues with team dynamics to foster a productive environment.</li> <li>Nurture younger colleagues to grow their skillset and guide their professional development.</li> </ul> </li> <li>Own Research work-streams at a high-level to deliver outcomes. <ul> <li>Align priorities with problem stakeholders, internal and external.</li> <li>Set the technical direction for the stream and apply judgement and taste to drive progress.</li> <li>Plan roadmaps with clear milestones for key decisions and outcomes.</li> <li>Organise and guide the more junior members of the team to effectively execute and deliver against this roadmap.</li> <li>Communicate purpose and key outcomes to raise awareness across the company and create opportunities for use and deployment.</li> </ul> </li> <li>The below activities in particular. <ul> <li>Work closely with our research scientists and simulation engineers to build and deliver models that address real-world physics and engineering problems.</li> <li>Design, build and optimise machine learning models with a focus on scalability and efficiency in our application domain.</li> <li>Transform prototype model implementations to robust and optimised implementations.</li> <li>Implement distributed training architectures (e.g.,